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PBBO: A New Approach for Underground Water Analysis

Author(s): Harish Kundra | Sumit Kaur | Ashish Verma | Dr.R. P. S Bedi

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 30;
Issue: 3;
Start page: 37;
Date: 2011;
Original page

Keywords: PSO | BBO | GA | Optimization | Underground Water Exploration

From last ten to fifteen years many optimization techniques have been evolved and enhanced. Out of those, PSO and BBO are the two techniques that have been widely used in Swarm Optimization. PSO is better in comparison many genetic algorithms. PSO has applications in various areas like Optimization, Neural Networks training, Fuzzy controls and etc. BBO is based on science of biogeography. BBO has some features common to PSO and Genetic algorithms but it has some important features that make it more reliable than others. In this paper, we have proposed new algorithm that combines the features of PSO and BBO. It will help in providing more reliability in optimization world.

Tango Jona
Tangokurs Rapperswil-Jona

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